32 min listen
LM101-065: How to Design Gradient Descent Learning Machines (Rerun)
LM101-065: How to Design Gradient Descent Learning Machines (Rerun)
ratings:
Length:
30 minutes
Released:
Jun 19, 2017
Format:
Podcast episode
Description
In this episode rerun we introduce the concept of gradient descent which is the fundamental principle underlying learning in the majority of deep learning and neural network learning algorithms. Check out the website: www.learningmachines101.com to obtain a transcript of this episode!
Released:
Jun 19, 2017
Format:
Podcast episode
Titles in the series (85)
LM101-005: How to Decide if a Machine is Artificially Intelligent (The Turing Test): Episode Summary: This episode we discuss the Turing Test for Artificial Intelligence which is designed to determine if the behavior of a computer is indistinguishable from the behavior of a thinking human being. The chatbot A.L.I.C.E. by Learning Machines 101